Search ga_ls8c_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2015-02-17 10:26:05	ga_ls8c_ard_3-0-0_101079_2015-02-17_final
2015-02-17 10:26:29	ga_ls8c_ard_3-0-0_101080_2015-02-17_final
2015-02-17 10:26:53	ga_ls8c_ard_3-0-0_101081_2015-02-17_final
2015-02-17 10:27:17	ga_ls8c_ard_3-0-0_101082_2015-02-17_final
2015-02-17 10:27:41	ga_ls8c_ard_3-0-0_101083_2015-02-17_final
2015-03-14 10:21:17	ga_ls8c_ard_3-0-0_100083_2015-03-14_final
2015-03-14 10:21:41	ga_ls8c_ard_3-0-0_100084_2015-03-14_final
2015-03-14 10:22:05	ga_ls8c_ard_3-0-0_100085_2015-03-14_final
2015-03-30 10:21:09	ga_ls8c_ard_3-0-0_100083_2015-03-30_final
2015-03-30 10:21:33	ga_ls8c_ard_3-0-0_100084_2015-03-30_final
2015-03-30 10:21:57	ga_ls8c_ard_3-0-0_100085_2015-03-30_final
2015-04-13 10:29:51	ga_ls8c_ard_3-0-0_102074_2015-04-13_final
2015-04-13 10:30:15	ga_ls8c_ard_3-0-0_102075_2015-04-13_final
2015-04-13 10:30:38	ga_ls8c_ard_3-0-0_102076_2015-04-13_final
2015-04-13 10:31:02	ga_ls8c_ard_3-0-0_102077_2015-04-13_final
2015-04-13 10:31:26	ga_ls8c_ard_3-0-0_102078_2015-04-13_final
2015-04-13 10:31:50	ga_ls8c_ard_3-0-0_102079_2015-04-13_final
2015-04-13 10:32:14	ga_ls8c_ard_3-0-0_102080_2015-04-13_final
2015-04-27 10:39:44	ga_ls8c_ard_3-0-0_104068_2015-04-27_final
2015-04-27 10:40:07	ga_ls8c_ard_3-0-0_104069_2015-04-27_final
2015-04-27 10:40:31	ga_ls8c_ard_3-0-0_104070_2015-04-27_final
2015-04-27 10:40:55	ga_ls8c_ard_3-0-0_104071_2015-04-27_final
2015-04-29 10:29:44	ga_ls8c_ard_3-0-0_102074_2015-04-29_final
2015-04-29 10:30:08	ga_ls8c_ard_3-0-0_102075_2015-04-29_final
2015-04-29 10:30:32	ga_ls8c_ard_3-0-0_102076_2015-04-29_final
2015-04-29 10:30:55	ga_ls8c_ard_3-0-0_102077_2015-04-29_final
2015-04-29 10:31:19	ga_ls8c_ard_3-0-0_102078_2015-04-29_final
2015-04-29 10:31:43	ga_ls8c_ard_3-0-0_102079_2015-04-29_final
2015-04-29 10:32:07	ga_ls8c_ard_3-0-0_102080_2015-04-29_final
2015-05-13 10:39:04	ga_ls8c_ard_3-0-0_104067_2015-05-13_final
2015-05-13 10:39:27	ga_ls8c_ard_3-0-0_104068_2015-05-13_final
2015-05-13 10:39:51	ga_ls8c_ard_3-0-0_104069_2015-05-13_final
2015-05-13 10:40:15	ga_ls8c_ard_3-0-0_104070_2015-05-13_final
2015-05-13 10:40:39	ga_ls8c_ard_3-0-0_104071_2015-05-13_final
2015-05-15 10:29:28	ga_ls8c_ard_3-0-0_102074_2015-05-15_final
2015-05-15 10:29:52	ga_ls8c_ard_3-0-0_102075_2015-05-15_final
2015-05-15 10:30:16	ga_ls8c_ard_3-0-0_102076_2015-05-15_final
2015-05-15 10:30:40	ga_ls8c_ard_3-0-0_102077_2015-05-15_final
2015-05-15 10:31:04	ga_ls8c_ard_3-0-0_102078_2015-05-15_final
2015-05-15 10:31:28	ga_ls8c_ard_3-0-0_102079_2015-05-15_final
2015-05-15 10:31:52	ga_ls8c_ard_3-0-0_102080_2015-05-15_final
2015-06-14 10:39:18	ga_ls8c_ard_3-0-0_104067_2015-06-14_final
2015-06-14 10:39:42	ga_ls8c_ard_3-0-0_104068_2015-06-14_final
2015-06-14 10:40:06	ga_ls8c_ard_3-0-0_104069_2015-06-14_final
2015-06-14 10:40:30	ga_ls8c_ard_3-0-0_104070_2015-06-14_final
2015-06-14 10:40:54	ga_ls8c_ard_3-0-0_104071_2015-06-14_final
2015-06-16 10:29:45	ga_ls8c_ard_3-0-0_102074_2015-06-16_final
2015-06-16 10:30:09	ga_ls8c_ard_3-0-0_102075_2015-06-16_final
2015-06-16 10:30:33	ga_ls8c_ard_3-0-0_102076_2015-06-16_final
2015-06-16 10:30:57	ga_ls8c_ard_3-0-0_102077_2015-06-16_final
2015-06-16 10:31:21	ga_ls8c_ard_3-0-0_102078_2015-06-16_final
2015-06-16 10:31:45	ga_ls8c_ard_3-0-0_102079_2015-06-16_final
2015-06-16 10:32:09	ga_ls8c_ard_3-0-0_102080_2015-06-16_final
2019-08-07 10:26:22	ga_ls8c_ard_3-1-0_101079_2019-08-07_final
2019-08-07 10:26:46	ga_ls8c_ard_3-1-0_101080_2019-08-07_final
2019-08-07 10:27:10	ga_ls8c_ard_3-1-0_101081_2019-08-07_final
2019-08-07 10:27:34	ga_ls8c_ard_3-1-0_101082_2019-08-07_final
2019-08-07 10:27:58	ga_ls8c_ard_3-1-0_101083_2019-08-07_final
2019-08-07 10:28:22	ga_ls8c_ard_3-1-0_101084_2019-08-07_final
2021-01-05 10:40:17	ga_ls8c_ard_3-2-0_104067_2021-01-05_final
2021-01-05 10:40:41	ga_ls8c_ard_3-2-0_104068_2021-01-05_final
2021-01-05 10:41:05	ga_ls8c_ard_3-2-0_104069_2021-01-05_final
2021-01-05 10:41:29	ga_ls8c_ard_3-2-0_104070_2021-01-05_final
2021-01-05 10:41:53	ga_ls8c_ard_3-2-0_104071_2021-01-05_final
2021-01-07 10:31:06	ga_ls8c_ard_3-2-0_102075_2021-01-07_final
2021-01-07 10:31:30	ga_ls8c_ard_3-2-0_102076_2021-01-07_final
2021-01-07 10:31:54	ga_ls8c_ard_3-2-0_102077_2021-01-07_final
2021-01-07 10:32:18	ga_ls8c_ard_3-2-0_102078_2021-01-07_final
2021-01-07 10:32:42	ga_ls8c_ard_3-2-0_102079_2021-01-07_final
2021-01-07 10:33:06	ga_ls8c_ard_3-2-0_102080_2021-01-07_final
2021-03-10 10:39:56	ga_ls8c_ard_3-2-0_104067_2021-03-10_final
2021-03-10 10:40:20	ga_ls8c_ard_3-2-0_104068_2021-03-10_final
2021-03-10 10:40:44	ga_ls8c_ard_3-2-0_104069_2021-03-10_final
2021-03-10 10:41:08	ga_ls8c_ard_3-2-0_104070_2021-03-10_final
2021-03-10 10:41:32	ga_ls8c_ard_3-2-0_104071_2021-03-10_final
2021-03-12 10:30:45	ga_ls8c_ard_3-2-0_102075_2021-03-12_final
2021-03-12 10:31:09	ga_ls8c_ard_3-2-0_102076_2021-03-12_final
2021-03-12 10:31:33	ga_ls8c_ard_3-2-0_102077_2021-03-12_final
2021-03-12 10:31:57	ga_ls8c_ard_3-2-0_102078_2021-03-12_final
2021-03-12 10:32:20	ga_ls8c_ard_3-2-0_102079_2021-03-12_final
2021-03-12 10:32:44	ga_ls8c_ard_3-2-0_102080_2021-03-12_final
2021-03-19 10:34:52	ga_ls8c_ard_3-2-0_103070_2021-03-19_final
2021-03-19 10:35:16	ga_ls8c_ard_3-2-0_103071_2021-03-19_final
2021-03-19 10:35:40	ga_ls8c_ard_3-2-0_103072_2021-03-19_final
2021-03-19 10:36:04	ga_ls8c_ard_3-2-0_103073_2021-03-19_final
2021-03-19 10:36:28	ga_ls8c_ard_3-2-0_103074_2021-03-19_final
2021-03-19 10:36:52	ga_ls8c_ard_3-2-0_103075_2021-03-19_final
2021-03-19 10:37:16	ga_ls8c_ard_3-2-0_103076_2021-03-19_final
2021-03-28 10:30:39	ga_ls8c_ard_3-2-0_102075_2021-03-28_final
2021-03-28 10:31:03	ga_ls8c_ard_3-2-0_102076_2021-03-28_final
2021-03-28 10:31:27	ga_ls8c_ard_3-2-0_102077_2021-03-28_final
2021-03-28 10:31:51	ga_ls8c_ard_3-2-0_102078_2021-03-28_final
2021-03-28 10:32:15	ga_ls8c_ard_3-2-0_102079_2021-03-28_final
2021-03-28 10:32:39	ga_ls8c_ard_3-2-0_102080_2021-03-28_final
2021-03-30 10:21:29	ga_ls8c_ard_3-2-0_100083_2021-03-30_final
2021-03-30 10:21:53	ga_ls8c_ard_3-2-0_100084_2021-03-30_final
2021-03-30 10:22:17	ga_ls8c_ard_3-2-0_100085_2021-03-30_final
2021-06-07 10:34:50	ga_ls8c_ard_3-2-0_103070_2021-06-07_final
2021-06-07 10:35:38	ga_ls8c_ard_3-2-0_103072_2021-06-07_final
2021-06-07 10:36:26	ga_ls8c_ard_3-2-0_103074_2021-06-07_final

Return to ga_ls8c_ard_3 whole collection overview

ga_ls8c_ard_3: Geoscience Australia Landsat 8 Operational Land Imager and Thermal Infra-Red Scanner Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years